摘要
作战飞机效能的评估是防空作战中的重要问题,简述了效能评估的各种方法,建立参数效能模型时,首先要挑选特征参数,用主成分分析方法选择武器的特征参数。利用支持向量机建立了作战飞机的参数效能模型,通过实例与神经网络法的结果进行了比较,结果表明支持向量机比较精确和简单。
The problem of assessing the effectiveness of battleplane is important in air defence. In this paper,several methods for assessing the effectiveness are discussed. In weapon system analysis, the first place is to select the character parameters of weapon system. The character parameters of weapon system are selected based on principal component analysis. A parameter effectiveness model of battlcplane is established by using support vector machine. The method is illustrated through examples. The comparing results show that the support vector machine method is more accurate and simple than the neural network method.
出处
《航空计算技术》
2005年第3期17-20,共4页
Aeronautical Computing Technique
关键词
主成分分析
支持向量机
效能
神经网络
principal component analysis
support rector machine
effectiveness
neural network
